How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V5.0", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Mat021007/skswoman-realvisxl-lora")

prompt = "photo of skswoman adult woman"
image = pipe(prompt).images[0]

SDXL LoRA DreamBooth - Mat021007/skswoman-realvisxl-lora

Model description

These are Mat021007/skswoman-realvisxl-lora LoRA adaption weights for SG161222/RealVisXL_V5.0.

The weights were trained using DreamBooth.

LoRA for the text encoder was enabled: False.

Special VAE used for training: None.

Trigger words

You should use photo of skswoman adult woman to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]

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